Novel Drug Discovery
Use molecular interaction intelligence to support new candidate discovery.
The current public site positions AI as the engine that transforms big data into prioritized candidates and supports a proteome-wide discovery approach.
Evaluate candidate interactions across a broad curated protein-target collection.
Build a molecular interaction view that captures on-target and off-target behavior.
Identify candidates and insights that can inform synthesis, optimization and testing.
Support decisions across discovery, preclinical work and clinical development.
Use molecular interaction intelligence to support new candidate discovery.
Assess potential off-target interactions and toxicity-related signals.
Help identify targets from phenotypic assay results.
Understand the broader interaction profile of a candidate.
Explore target-disease combinations for potential repurposing opportunities.
Explore how target mutations may affect drug binding.